دورية أكاديمية
Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes
| العنوان: | Generalisable long COVID subtypes: Findings from the NIH N3C and RECOVER programmes |
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| المؤلفون: | Reese, J.T., Blau, H., Casiraghi, E., Bergquist, T., Loomba, J.J., Callahan, T.J., Laraway, B., Antonescu, C., Coleman, B., Gargano, M., Wilkins, K.J., Cappelletti, L., Fontana, T., Ammar, N., Antony, B., Murali, T.M., Caufield, J.H., Karlebach, G., McMurry, J.A., Williams, A., Moffitt, R., Banerjee, J., Solomonides, A.E., Davis, H., Kostka, K., Valentini, G., Sahner, D., Chute, C.G., Madlock-Brown, C., Haendel, M.A., Robinson, P.N., Spratt, H., Visweswaran, S., Flack, J.E., IV, Yoo, Y.J., Gabriel, D., Alexander, G.C., Mehta, H.B., Liu, F., Miller, R.T., Wong, R., Hill, E.L., Thorpe, L.E., Divers, J., N3C Consortium, RECOVER Consortium |
| المساهمون: | University of Arizona - Banner Health |
| المصدر: | eBioMedicine |
| بيانات النشر: | Elsevier B.V. |
| سنة النشر: | 2023 |
| المجموعة: | The University of Arizona: UA Campus Repository |
| مصطلحات موضوعية: | COVID-19, Human Phenotype Ontology, Long COVID, Machine learning, Precision medicine, Semantic similarity |
| الوصف: | Background: Stratification of patients with post-acute sequelae of SARS-CoV-2 infection (PASC, or long COVID) would allow precision clinical management strategies. However, long COVID is incompletely understood and characterised by a wide range of manifestations that are difficult to analyse computationally. Additionally, the generalisability of machine learning classification of COVID-19 clinical outcomes has rarely been tested. Methods: We present a method for computationally modelling PASC phenotype data based on electronic healthcare records (EHRs) and for assessing pairwise phenotypic similarity between patients using semantic similarity. Our approach defines a nonlinear similarity function that maps from a feature space of phenotypic abnormalities to a matrix of pairwise patient similarity that can be clustered using unsupervised machine learning. Findings: We found six clusters of PASC patients, each with distinct profiles of phenotypic abnormalities, including clusters with distinct pulmonary, neuropsychiatric, and cardiovascular abnormalities, and a cluster associated with broad, severe manifestations and increased mortality. There was significant association of cluster membership with a range of pre-existing conditions and measures of severity during acute COVID-19. We assigned new patients from other healthcare centres to clusters by maximum semantic similarity to the original patients, and showed that the clusters were generalisable across different hospital systems. The increased mortality rate originally identified in one cluster was consistently observed in patients assigned to that cluster in other hospital systems. Interpretation: Semantic phenotypic clustering provides a foundation for assigning patients to stratified subgroups for natural history or therapy studies on PASC. Funding: NIH (TR002306/OT2HL161847-01/OD011883/HG010860), U.S.D.O.E. (DE-AC02-05CH11231), Donald A. Roux Family Fund at Jackson Laboratory, Marsico Family at CU Anschutz. © 2022 The Authors ; Open access journal ; This item ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 2352-3964 |
| العلاقة: | University, Stanford, CA 94305, United States; Bonnand, R., Université Savoie Mont Blanc, CNRS, Laboratoire d'Annecy de Physique des Particules, IN2P3, Annecy, F-74000, France; Booker, P., Max Planck Institute for Gravitational Physics, Albert Einstein Institute, Hannover, D-30167, Germany, Leibniz Universität Hannover, Hannover, D-30167, Germany; Boom, B.A., Nikhef, Science Park 105, Amsterdam, 1098 XG, Netherlands; Bork, R., LIGO Laboratory, California Institute of Technology, Pasadena, CA 91125, United States; Boschi, V., INFN, Sezione di Pisa, Pisa, I-56127, Italy; Bose, N., Indian Institute of Technology Bombay, Mumbai, Powai, 400 076, India; Bose, S., Inter-University Centre for Astronomy and Astrophysics, Pune, 411007, India; Bossilkov, V., OzGrav, University of Western Australia, Crawley, WA 6009, Australia; Boudart, V., Université de Liège, Liège, B-4000, Belgium; Bouffanais, Y., Università di Padova, Dipartimento di Fisica e Astronomia, Padova, I-35131, Italy, INFN, Sezione di Padova, Padova, I-35131, Italy; Bozzi, A., European Gravitational Observatory (EGO), Pisa, Cascina, I-56021, Italy; Bradaschia, C., INFN, Sezione di Pisa, Pisa, I-56127, Italy; Brady, P.R., University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States; Bramley, A., LIGO Livingston Observatory, Livingston, LA 70754, United States; Branch, A., LIGO Livingston Observatory, Livingston, LA 70754, United States; Branchesi, M., Gran Sasso Science Institute (GSSI), L'Aquila, I-67100, Italy, INFN, Laboratori Nazionali Del Gran Sasso, Assergi, I-67100, Italy; Brau, J.E., University of Oregon, Eugene, OR 97403, United States; Breschi, M., Theoretisch-Physikalisches Institut, Friedrich-Schiller-Universität Jena, Jena, D-07743, Germany; Briant, T., Laboratoire Kastler Brossel, Sorbonne Université, CNRS, ENS-Université PSL, Collège de France, Paris, F-75005, France; Briggs, J.H., SUPA, University of Glasgow, Glasgow, G12 8QQ, United Kingdom; Brillet, A., Artemis, Université Côte d'Azur, Observatoire de la Côte d'Azur, CNRS, Nice, F-06304, France; Brinkmann, M., Max Planck Institute for Gravitational Physics, Albert Einstein Institute, Hannover, D-30167, Germany, Leibniz Universität Hannover, Hannover, D-30167, Germany; Brockill, P., University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States; Brooks, A.F., LIGO Laboratory, California Institute of Technology, Pasadena, CA 91125, United States; Brooks, J., European Gravitational Observatory (EGO), Pisa, Cascina, I-56021, Italy; Brown, D.D., OzGrav, University of Adelaide, Adelaide, SA 5005, Australia; Brunett, S., LIGO Laboratory, California Institute of Technology, Pasadena, CA 91125, United States; Bruno, G., Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium; Bruntz, R., Christopher Newport University, Newport News, VA 23606, United States; Bryant, J., University of Birmingham, Birmingham, B15 2TT, United Kingdom; Bucci, F., INFN, Sezione di Firenze, Firenze, Sesto Fiorentino, I-50019, Italy; Bulik, T., Astronomical Observatory Warsaw University, Warsaw, 00-478, Poland; Bulten, H.J., Nikhef, Science Park 105, Amsterdam, 1098 XG, Netherlands; Buonanno, A., University of Maryland, College Park, MD 20742, United States, Max Planck Institute for Gravitational Physics, Albert Einstein Institute, Potsdam, D-14476, Germany; Burtnyk, K., LIGO Hanford Observatory, Richland, WA 99352, United States; Buscicchio, R., University of Birmingham, Birmingham, B15 2TT, United Kingdom; Buskulic, D., Université Savoie Mont Blanc, CNRS, Laboratoire d'Annecy de Physique des Particules, IN2P3, Annecy, F-74000, France; Buy, C., L2IT, Laboratoire des 2 Infinis - Toulouse, Université de Toulouse, CNRS/IN2P3, UPS, Toulouse, F-31062 Cedex 9, France; Byer, R.L., Stanford University, Stanford, CA 94305, United States; Cabourn Davies, G.S., University of Portsmouth, Portsmouth, PO1 3FX, United Kingdom; Cabras, G., Dipartimento di Scienze Matematiche Informatiche e Fisiche, Università di Udine, Udine, I-33100, Italy, INFN, Sezione di Trieste, Trieste, I-34127, Italy; Cabrita, R., Université Catholique de Louvain, Louvain-la-Neuve, B-1348, Belgium; Cadonati, L., Georgia Institute of Technology, Atlanta, GA 30332, United States; Caesar, M., Villanova University, Villanova, PA 19085, United States; Cagnoli, G., Université de Lyon, Université Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, Villeurbanne, F-69622, France; Cahillane, C., LIGO Hanford Observatory, Richland, WA 99352, United States; Calderón Bustillo, J., IGFAE, Universidade de Santiago de Compostela, Santiago de Compostela, 15782, Spain; Callaghan, J.D., SUPA, University of Glasgow, Glasgow, G12 8QQ, United Kingdom; Callister, T.A., Stony Brook University, Stony Brook, NY 11794, United States, Center for Computational Astrophysics, Flatiron Institute, New York, NY 10010, United States; Calloni, E., INFN, Sezione di Napoli, Complesso Universitario di Monte S. 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| DOI: | 10.1016/j.ebiom.2022.104413 |
| الإتاحة: | https://doi.org/10.1016/j.ebiom.2022.104413Test http://hdl.handle.net/10150/670541Test |
| حقوق: | © 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0Test/). ; https://creativecommons.org/licenses/by-nc-nd/4.0Test/ |
| رقم الانضمام: | edsbas.949AEA77 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 23523964 |
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| DOI: | 10.1016/j.ebiom.2022.104413 |